@inproceedings{3f193a0c51274e86a54a07ab8489ae99,
title = "Creating an SVM to play strong poker",
abstract = "Represent a support vector machine that plays strong poker based on training on data from a proven player. This approach allows us to create an agent without having to use and implement expert rules. We tested our support vector machine by having it play against several opponents. It did not perform as well as expected, but did show some promise.",
author = "Todd Blank and Soh, {Leen Kiat} and Stephen Scott",
year = "2004",
language = "English (US)",
isbn = "0780388232",
series = "Proceedings of the 2004 International Conference on Machine Learning and Applications, ICMLA '04",
pages = "150--155",
editor = "M. Kantardzic and O. Nasraoui and M. Milanova",
booktitle = "Proceedings of the 2004 International Conference on Machine Learning and Applications, ICMLA '04",
note = "2004 International Conference on Machine Learning and Applications, ICMLA '04 ; Conference date: 16-12-2004 Through 18-12-2004",
}